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It s genetic operator (crossover and mutation) for discrete optimization

一个基于Simulink及GUIDE的PID控制界面呢DEMO.用户可以从面板上修改PID参数，直接仿真出PID结果(A demo application using simulink &GUIDE to accomlish PID control.Users can modify KP,KI,KD from the GUI for their own desired simulation conditions.)

【Matlab界面GUI添加背景图片】：好像桌面背景一样，添加自己想要的背景图片，这里面有个技术，可以让背景不影响GUI界面的文字，edit、text。具体代码下载了解一下吧，平时工作总结的方法。(Matlab interface [GUI] Add a background image: It seems as desktop background, you want to add your own background image, and there are a technology that allows the background without affecting the GUI interface text, edit, text. Specific code to download understand it, the usual method of summing up the work.)

LEACH的MATLAB代码,很不错。可以直接运行。(the code of LEACH for Matlab)

一种MIMO体制天波雷达多普勒扩展杂波抑制方法(Doppler radar system for MIMO-day extension clutter suppression method)

LTE 中MIMO的MATLAB实现，包含下行链路的流程(MATLAB in the MIMO-LTE implementation, including the process of downlink)

使用CRB估算位置，在通訊是相當好用的程式。(Estimates using the CRB location, very easy to use program)

说明：  复杂网络中社区划分算法中利用边介数的经典GN算法(Complex network community partitioning algorithm using edge betweenness classic GN algorithm)

最小二乘互信息估计法,基于最小二乘法来直接估计互信息。(least-square MI estimator)

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)